Dataset Information

DiseaseEnhancer: a resource of human disease-associated enhancer catalog.

ABSTRACT: Large-scale sequencing studies discovered substantial genetic variants occurring in enhancers which regulate genes via long range chromatin interactions. Importantly, such variants could affect enhancer regulation by changing transcription factor bindings or enhancer hijacking, and in turn, make an essential contribution to disease progression. To facilitate better usage of published data and exploring enhancer deregulation in various human diseases, we created DiseaseEnhancer (http://biocc.hrbmu.edu.cn/DiseaseEnhancer/), a manually curated database for disease-associated enhancers. As of July 2017, DiseaseEnhancer includes 847 disease-associated enhancers in 143 human diseases. Database features include basic enhancer information (i.e. genomic location and target genes); disease types; associated variants on the enhancer and their mediated phenotypes (i.e. gain/loss of enhancer and the alterations of transcription factor bindings). We also include a feature on our website to export any query results into a file and download the full database. DiseaseEnhancer provides a promising avenue for researchers to facilitate the understanding of enhancer deregulation in disease pathogenesis, and identify new biomarkers for disease diagnosis and therapy.

SUBMITTER: Zhang G

PROVIDER: S-EPMC5753380 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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DiseaseEnhancer: a resource of human disease-associated enhancer catalog.

Zhang Guanxiong G Shi Jian J Zhu Shiwei S Lan Yujia Y Xu Liwen L Yuan Huating H Liao Gaoming G Liu Xiaoqin X Zhang Yunpeng Y Xiao Yun Y Li Xia X

Nucleic acids research 20180101 D1

Large-scale sequencing studies discovered substantial genetic variants occurring in enhancers which regulate genes via long range chromatin interactions. Importantly, such variants could affect enhancer regulation by changing transcription factor bindings or enhancer hijacking, and in turn, make an essential contribution to disease progression. To facilitate better usage of published data and exploring enhancer deregulation in various human diseases, we created DiseaseEnhancer (http://biocc.hrbm ...[more]

PMID: 29059320

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Project description:While the majority of protein-coding genes in the human genome have been identified, the location of the regulatory sequences that control their expression in time and space remains poorly defined. The importance of identifying these elements is underscored by a growing number of studies (such as GWAS) supporting a relationship between variation in non-coding sequences and human disease. M-BM- emonstrated that ChIP-Seq with p300 directly on human or mouse tissues represents a powerful method to identify the location and tissue-specific activity pattern of enhancers in the genome.M-BM- a highly specific chromatin mark for the prediction of in vivo enhancers, it is not without limitations. M-BM- comparison of p300-bound regions with previously generated enhancer sets shows that the majority of enhancers are activated independently of p300. To attempt to identify a larger proportion of enhancers in vivo, we have focused on several additional transcriptional coactivators that are hypothesized to be associated with active tissue-specific enhancers. M-BM- limited availability of ChIP-seq grade antibodies for these coactivators, FLAG-tag knock-in mice were generated and ChIP-seq using a FLAG antibody was performed on various tissues from e11.5 mouse embryos. Indeed, as these mouse lines have become available we have validated their valuable role as marks for transcriptional enhancers in vivo.M-BM- studies are expected to further expand the catalogue of in vivo functional enhancers, which will aid in the decoding of the regulatory genome and provide new insights into the role of gene regulation in human biology and disease. In addition to FLAG data, this accession includes histone acetylation / methylation ChIP-seq data from e11.5 mouse embryonic tissues. Histone ChIP-seq data was used in combination with FLAG data for various computational analyses. Examination of FLAG-labeled transcriptional coactivator binding in mouse embryonic stage 11.5 and embryonic stem cells

Project description:Human cryptosporidiosis, caused primarily by Cryptosporidium hominis and a subset of Cryptosporidium parvum, is a major cause of moderate-to-severe diarrhea in children under 5 years of age in developing countries and can lead to nutritional stunting and death. Cryptosporidiosis is particularly severe and potentially lethal in immunocompromised hosts. Biological and technical challenges have impeded traditional vaccinology approaches to identify novel targets for the development of vaccines against C. hominis, the predominant species associated with human disease. We deemed that the existence of genomic resources for multiple species in the genus, including a much-improved genome assembly and annotation for C. hominis, makes a reverse vaccinology approach feasible. To this end, we sought to generate a searchable online resource, termed C. hominis gene catalog, which registers all C. hominis genes and their properties relevant for the identification and prioritization of candidate vaccine antigens, including physical attributes, properties related to antigenic potential and expression data. Using bioinformatic approaches, we identified ?400 C. hominis genes containing properties typical of surface-exposed antigens, such as predicted glycosylphosphatidylinositol (GPI)-anchor motifs, multiple transmembrane motifs and/or signal peptides targeting the encoded protein to the secretory pathway. This set can be narrowed further, e.g. by focusing on potential GPI-anchored proteins lacking homologs in the human genome, but with homologs in the other Cryptosporidium species for which genomic data are available, and with low amino acid polymorphism. Additional selection criteria related to recombinant expression and purification include minimizing predicted post-translation modifications and potential disulfide bonds. Forty proteins satisfying these criteria were selected from 3745 proteins in the updated C. hominis annotation. The immunogenic potential of a few of these is currently being tested.Database URL: http://cryptogc.igs.umaryland.edu.

Dataset Information

DiseaseEnhancer: a resource of human disease-associated enhancer catalog.

Publications

DiseaseEnhancer: a resource of human disease-associated enhancer catalog.

Similar Datasets

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